with the voltage being reset to reset parameter \(c\) , and the variable \(u\)  being incremented by \(d\) , when the voltage goes over a threshold, \(-30mV\) , which indicates that the neuron spiked. We used the same parameters as in [1]} to model a regular-spiking cortical neuron, with \(a = .02\) , \(b = .2\) , \(c = -65mV\)  and \(d = 2\) . In order to add randomness to the network, \(c\)  is modified by \(15r^2\)  and \(d\)  is modified by \(-6r^2\) , where r is a random number on the interval [0,1]. We did not model inhibitory neurons differently.
